[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-senior-ai-engineer-ocbc-bank-de-sg":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":94,"processed_longitude":96,"processed_employment_types":98,"processed_working_hours":99,"processed_working_hours_labels":101,"processed_home_office":102,"processed_salary_min":91,"processed_salary_max":92,"processed_salary_currency":88,"processed_salary_source":103,"processed_benefits":104,"processed_benefits_labels":109,"processed_industry":110,"processed_skills":7,"processed_job_location":111,"processed_full_address_gmaps":113,"processed_street_gmaps":115,"processed_city_gmaps":116,"processed_postal_code_gmaps":117,"processed_country_gmaps":118,"processed_country_iso_code_gmaps":119,"full_description":16,"formatted_description":121,"processed_employment_types_labels":23,"processed_home_office_labels":21,"processed_industry_labels":25,"processed_it_skills":122,"processed_it_skills_labels":125,"processed_soft_skills":126,"processed_soft_skills_labels":127,"processed_job_expertise_skills":128,"processed_job_expertise_skills_labels":129,"processed_language_requirements":130,"processed_total_experience_years":137,"processed_professional_field":138,"processed_professional_field_labels":141,"processed_leadership_role":12,"processed_date_posted":19,"raw_job_url":142,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":110,"canonical_industry_label":25,"max_cpc":143,"actual_cpc":7},76528,"senior-ai-engineer-ocbc-bank","Senior AI Engineer",null,{"name":9,"slug":10,"logo_url":7},"OCBC Bank","ocbc-bank",false,true,{"@context":14,"@type":15,"title":6,"description":16,"hiringOrganization":17,"datePosted":19,"validThrough":20,"jobLocationType":21,"employmentType":22,"industry":24,"skills":26,"baseSalary":86},"https:\u002F\u002Fschema.org\u002F","JobPosting","WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here. About the Role: We are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in microservices architecture and multi-language development. Responsibilities: AI\u002FML Development Design, develop, and deploy machine learning models and AI solutions that solve complex business problems. Build and implement agentic AI systems with autonomous decision-making, reasoning, and task execution capabilities Develop multi-agent systems that use tools, planning, and memory. Build and optimise large-scale ML pipelines for training, evaluation, and inference. Implement state-of-the-art algorithms in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance. Stay current with the latest AI\u002FML research and identify opportunities to apply emerging techniques. Software Engineering & Architecture Design and implement robust microservices architectures for AI\u002FML applications Build scalable, maintainable, and well-documented code across multiple programming languages. Develop RESTful APIs and event-driven systems to integrate AI capabilities into broader platforms Ensure high availability, fault tolerance, and performance optimisation of AI services. Implement CI\u002FCD pipelines for automated testing and deployment of ML models. Technical Leadership Mentor junior engineers and data scientists on best practices in AI engineering and software development Lead technical design discussions and contribute to architectural decisions. Collaborate with cross-functional teams, including product managers, data scientists, and platform engineers. Conduct code reviews and promote engineering excellence across the team Drive technical innovation and champion the adoption of new tools and methodologies Required Qualifications Technical Skills AI\u002FML Expertise – 5+ years of experience developing and deploying machine learning models in production environments Agentic AI – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution Programming Languages – Advanced proficiency in at least Python and Java. Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc. Experience with Spring Boot, microservices frameworks, and concurrent programming. Microservices Architecture – 5+ years of hands-on experience designing and implementing microservices-based systems ML Operations – Experience with MLOps practices, model versioning, monitoring, and deployment strategies Cloud Platforms – Proficiency with AWS, GCP, or Azure ML services and infrastructure Additional Technical Requirements Strong understanding of distributed systems, message queues (Kafka, etc.), and event-driven architectures Experience with containerization (Docker) and orchestration (Kubernetes) Knowledge of database systems (SQL and NoSQL) and data engineering concepts Familiarity with API design principles and RESTful services Experience with version control (Git) and collaborative development workflows Experience Bachelor's or master’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience). Proven track record of delivering complex AI projects from conception to production Strong problem-solving abilities and analytical thinking Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Experience working in agile development environments Preferred Qualifications PhD in Machine Learning, Artificial Intelligence, or related field Experience with agentic AI frameworks (LangChain, AutoGen, etc.) and agent orchestration patterns Hands-on experience implementing Agents patterns such as ReAct, Plain and Execute, etc. Hands-on experience with advanced prompting techniques such as Chain-Of-Thought, etc. Experience with transformer architectures and large language models (LLMs) Knowledge of vector databases and retrieval-augmented generation (RAG) systems Contributions to open-source AI\u002FML projects Publications in top-tier AI\u002FML conferences or journals Experience with real-time inference systems and model optimisation techniques Knowledge of federated learning, edge AI, or distributed training Familiarity with MLflow, Kubeflow, or similar ML platforms Experience with multiple cloud providers and multi-cloud architectures Experience with building LoRA\u002FQLoRA, PEFT pipelines for enterprise-specific tuning Experience implementing distributed training pipelines (Ray, FSDP, DeepSpeed, PyTorch Distributed, etc.) Experience with integrating continuous feedback loops to improve the model incrementally What we offer: Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers. Let’s build the bank we need for the future we want. Find the best version of yourself in a friendly, supportive team. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. As the longest established Singapore bank, formed in 1932 from the merger of three local banks, we have grown from strength to strength to become a regional financial services group. With a deep history in Asia, we offer the most comprehensive coverage across ASEAN and Greater China, complemented with a presence in the leading economies of New York, London and Sydney. We are the second largest financial services group in Southeast Asia by assets with one of the world’s highest credit rating (Aa1 by Moody’s and AA- by both Fitch and S&P). We offer private banking services through our wholly-owned subsidiary, Bank of Singapore, which operates on a unique open-architecture product platform to source for the best-in-class products to meet its clients’ goals. Our insurance subsidiary, Great Eastern Holdings, is the oldest and most established life insurance group in Singapore and Malaysia.",{"@type":18,"name":9},"Organization","2026-09-08","2027-09-08","ONSITE",[23],"PERMANENT",[25],"Financial Services",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85],"Python","Java","TensorFlow","PyTorch","pandas","NumPy","scikit-learn","Spring Boot","Microservices","AWS","GCP","Azure ML","Kafka","Docker","Kubernetes","SQL","NoSQL","Git","RESTful APIs","CI\u002FCD","MLOps","LangChain","AutoGen","MLflow","Kubeflow","Ray","FSDP","DeepSpeed","PyTorch Distributed","Communication","Problem-solving","Analytical thinking","Mentoring","Collaboration","Technical leadership","Machine Learning","Agentic AI","Multi-agent systems","Deep Learning","Natural Language Processing","Computer Vision","Recommendation Systems","Predictive Analytics","Distributed Systems","Event-driven architectures","Model deployment","Model monitoring","Model versioning","Agile development","Transformer architectures","Large Language Models (LLMs)","Vector databases","Retrieval-augmented generation (RAG)","Federated learning","Edge AI","Distributed training","LoRA\u002FQLoRA","PEFT pipelines","Prompt engineering",{"@type":87,"currency":88,"value":89},"MonetaryAmount","SGD",{"@type":90,"minValue":91,"maxValue":92,"unitText":93},"QuantitativeValue",120000,180000,"YEAR",[95],1.352083,[97],103.819836,"permanent",[100],"FULL_TIME",[100],"onsite","estimated",[105,106,107,108],"Competitive base salary","Holistic, flexible benefits","Community initiatives","Industry-leading learning and professional development opportunities",[105,106,107,108],"financial services",[112],"ocbc, sgp-head office, singapore",[114],"Singapur",[],[],[],[114],[120],"SG","## WHO WE ARE:\nAs Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.\n\nToday, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.\n\nWe invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.\n\n**Your Opportunity Starts Here.**\n\n## About the Role:\nWe are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in microservices architecture and multi-language development.\n\n## Responsibilities:\n\n### AI\u002FML Development\n- Design, develop, and deploy machine learning models and AI solutions that solve complex business problems.\n- Build and implement agentic AI systems with autonomous decision-making, reasoning, and task execution capabilities\n- Develop multi-agent systems that use tools, planning, and memory.\n- Build and optimise large-scale ML pipelines for training, evaluation, and inference.\n- Implement state-of-the-art algorithms in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics\n- Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance.\n- Stay current with the latest AI\u002FML research and identify opportunities to apply emerging techniques.\n\n### Software Engineering & Architecture\n- Design and implement robust microservices architectures for AI\u002FML applications\n- Build scalable, maintainable, and well-documented code across multiple programming languages.\n- Develop RESTful APIs and event-driven systems to integrate AI capabilities into broader platforms\n- Ensure high availability, fault tolerance, and performance optimisation of AI services.\n- Implement CI\u002FCD pipelines for automated testing and deployment of ML models.\n\n### Technical Leadership\n- Mentor junior engineers and data scientists on best practices in AI engineering and software development\n- Lead technical design discussions and contribute to architectural decisions.\n- Collaborate with cross-functional teams, including product managers, data scientists, and platform engineers.\n- Conduct code reviews and promote engineering excellence across the team\n- Drive technical innovation and champion the adoption of new tools and methodologies\n\n## Required Qualifications\n\n### Technical Skills\n- **AI\u002FML Expertise** – 5+ years of experience developing and deploying machine learning models in production environments\n- **Agentic AI** – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution\n- **Programming Languages** – Advanced proficiency in at least Python and Java. Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc. Experience with Spring Boot, microservices frameworks, and concurrent programming.\n- **Microservices Architecture** – 5+ years of hands-on experience designing and implementing microservices-based systems\n- **ML Operations** – Experience with MLOps practices, model versioning, monitoring, and deployment strategies\n- **Cloud Platforms** – Proficiency with AWS, GCP, or Azure ML services and infrastructure\n\n### Additional Technical Requirements\n- Strong understanding of distributed systems, message queues (Kafka, etc.), and event-driven architectures\n- Experience with containerization (Docker) and orchestration (Kubernetes)\n- Knowledge of database systems (SQL and NoSQL) and data engineering concepts\n- Familiarity with API design principles and RESTful services\n- Experience with version control (Git) and collaborative development workflows\n\n### Experience\n- Bachelor's or master’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).\n- Proven track record of delivering complex AI projects from conception to production\n- Strong problem-solving abilities and analytical thinking\n- Excellent communication skills with the ability to explain complex technical concepts to diverse audiences\n- Experience working in agile development environments\n\n## Preferred Qualifications\n- PhD in Machine Learning, Artificial Intelligence, or related field\n- Experience with agentic AI frameworks (LangChain, AutoGen, etc.) and agent orchestration patterns\n- Hands-on experience implementing Agents patterns such as ReAct, Plain and Execute, etc.\n- Hands-on experience with advanced prompting techniques such as Chain-Of-Thought, etc.\n- Experience with transformer architectures and large language models (LLMs)\n- Knowledge of vector databases and retrieval-augmented generation (RAG) systems\n- Contributions to open-source AI\u002FML projects\n- Publications in top-tier AI\u002FML conferences or journals\n- Experience with real-time inference systems and model optimisation techniques\n- Knowledge of federated learning, edge AI, or distributed training\n- Familiarity with MLflow, Kubeflow, or similar ML platforms\n- Experience with multiple cloud providers and multi-cloud architectures\n- Experience with building LoRA\u002FQLoRA, PEFT pipelines for enterprise-specific tuning\n- Experience implementing distributed training pipelines (Ray, FSDP, DeepSpeed, PyTorch Distributed, etc.)\n- Experience with integrating continuous feedback loops to improve the model incrementally\n\n## What we offer:\n- Competitive base salary.\n- A suite of holistic, flexible benefits to suit every lifestyle.\n- Community initiatives.\n- Industry-leading learning and professional development opportunities.\n- Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.\n\nLet’s build the bank we need for the future we want. Find the best version of yourself in a friendly, supportive team. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.\n\n**Your Opportunity Starts Here**\n\nIntroduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match.\n\nAs the longest established Singapore bank, formed in 1932 from the merger of three local banks, we have grown from strength to strength to become a regional financial services group. With a deep history in Asia, we offer the most comprehensive coverage across ASEAN and Greater China, complemented with a presence in the leading economies of New York, London and Sydney. We are the second largest financial services group in Southeast Asia by assets with one of the world’s highest credit rating (Aa1 by Moody’s and AA- by both Fitch and S&P). We offer private banking services through our wholly-owned subsidiary, Bank of Singapore, which operates on a unique open-architecture product platform to source for the best-in-class products to meet its clients’ goals. Our insurance subsidiary, Great Eastern Holdings, is the oldest and most established life insurance group in Singapore and Malaysia.",{"aws":123,"gcp":123,"git":123,"ray":123,"sql":123,"fsdp":123,"java":124,"ci\u002Fcd":123,"kafka":123,"mlops":123,"nosql":123,"numpy":123,"docker":123,"mlflow":123,"pandas":123,"python":124,"autogen":123,"pytorch":123,"azure ml":123,"kubeflow":123,"deepspeed":123,"langchain":123,"kubernetes":123,"tensorflow":123,"spring boot":123,"restful apis":123,"scikit-learn":123,"microservices":124,"pytorch distributed":123},3,4,[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55],{"communication":124,"problem-solving":124,"analytical thinking":124,"mentoring":123,"collaboration":123,"technical leadership":123},[56,57,58,59,60,61],{"edge ai":123,"agentic ai":123,"lora\u002Fqlora":123,"deep learning":123,"peft pipelines":123,"computer vision":123,"machine learning":124,"model deployment":123,"model monitoring":123,"model versioning":123,"vector databases":123,"agile development":123,"federated learning":123,"prompt engineering":123,"distributed systems":123,"multi-agent systems":123,"distributed training":123,"predictive analytics":123,"recommendation systems":123,"transformer architectures":123,"event-driven architectures":123,"natural language processing":123,"large language models (llms)":123,"retrieval-augmented generation (rag)":123},[62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85],{"detected_language_jobad":131,"required":132},"en",[133],[134],{"language":135,"level":136},"ENGLISH","C1",5,[139,140],"Information and Communications Technology Professionals","Science and Engineering Professionals",[139,140],"https:\u002F\u002Focbc.wd102.myworkdayjobs.com\u002Fen-us\u002Fexternal\u002Fjob\u002Focbc-singapore\u002Fsenior-ai-engineer_jr00010846",1]